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93 lines
3.6 KiB
Python
93 lines
3.6 KiB
Python
# Licensed to the Apache Software Foundation (ASF) under one
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# or more contributor license agreements. See the NOTICE file
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# distributed with this work for additional information
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# regarding copyright ownership. The ASF licenses this file
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# to you under the Apache License, Version 2.0 (the
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# "License"); you may not use this file except in compliance
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# with the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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from datetime import datetime
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from typing import Any, Optional
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from sqlalchemy import types
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from superset.constants import TimeGrain
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from superset.db_engine_specs.base import BaseEngineSpec, DatabaseCategory
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class DynamoDBEngineSpec(BaseEngineSpec):
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engine = "dynamodb"
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engine_name = "Amazon DynamoDB"
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metadata = {
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"description": (
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"Amazon DynamoDB is a serverless NoSQL database with SQL via PartiQL."
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),
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"logo": "aws.png",
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"homepage_url": "https://aws.amazon.com/dynamodb/",
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"categories": [
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DatabaseCategory.CLOUD_AWS,
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DatabaseCategory.SEARCH_NOSQL,
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DatabaseCategory.PROPRIETARY,
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],
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"pypi_packages": ["pydynamodb"],
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"connection_string": (
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"dynamodb://{aws_access_key_id}:{aws_secret_access_key}"
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"@dynamodb.{region}.amazonaws.com:443?connector=superset"
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),
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"parameters": {
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"aws_access_key_id": "AWS access key ID",
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"aws_secret_access_key": "AWS secret access key",
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"region": "AWS region (e.g., us-east-1)",
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},
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"notes": "Uses PartiQL for SQL queries. Requires connector=superset parameter.",
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"docs_url": "https://github.com/passren/PyDynamoDB",
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}
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_time_grain_expressions = {
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None: "{col}",
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TimeGrain.SECOND: "DATETIME(STRFTIME('%Y-%m-%dT%H:%M:%S', {col}))",
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TimeGrain.MINUTE: "DATETIME(STRFTIME('%Y-%m-%dT%H:%M:00', {col}))",
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TimeGrain.HOUR: "DATETIME(STRFTIME('%Y-%m-%dT%H:00:00', {col}))",
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TimeGrain.DAY: "DATETIME({col}, 'start of day')",
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TimeGrain.WEEK: "DATETIME({col}, 'start of day', \
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-strftime('%w', {col}) || ' days')",
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TimeGrain.MONTH: "DATETIME({col}, 'start of month')",
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TimeGrain.QUARTER: (
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"DATETIME({col}, 'start of month', "
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"printf('-%d month', (strftime('%m', {col}) - 1) % 3))"
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),
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TimeGrain.YEAR: "DATETIME({col}, 'start of year')",
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TimeGrain.WEEK_ENDING_SATURDAY: "DATETIME({col}, 'start of day', 'weekday 6')",
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TimeGrain.WEEK_ENDING_SUNDAY: "DATETIME({col}, 'start of day', 'weekday 0')",
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TimeGrain.WEEK_STARTING_SUNDAY: (
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"DATETIME({col}, 'start of day', 'weekday 0', '-7 days')"
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),
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TimeGrain.WEEK_STARTING_MONDAY: (
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"DATETIME({col}, 'start of day', 'weekday 1', '-7 days')"
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),
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}
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@classmethod
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def epoch_to_dttm(cls) -> str:
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return "datetime({col}, 'unixepoch')"
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@classmethod
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def convert_dttm(
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cls, target_type: str, dttm: datetime, db_extra: Optional[dict[str, Any]] = None
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) -> Optional[str]:
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sqla_type = cls.get_sqla_column_type(target_type)
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if isinstance(sqla_type, (types.String, types.DateTime)):
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return f"""'{dttm.isoformat(sep=" ", timespec="seconds")}'"""
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return None
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